This dataset contains information on life history, wing morphological and reproductive traits of Pararge aegeria (L.). The data was collected from an eco-evolutionary study examining how male and female Pararge aegeria from woodland and agricultural landscape populations were affected by development on drought stressed host plants. The data of life history cover total development time and sex of the studied species. The data of wing morphology include total development time, sex, wing loading, the mean of forewing melanin, the mean of forewing:aspect ratio, and the total wing area. The data of female reproductive output are mean egg size, longevity, number of days until first egg laid, fecundity, arcine square root of the percentage of eggs hatched and the percentage of eggs hatched. All the data have adult mass, population name, landscape type and treatments. Further information can be found in Gibbs, M., Van Dyck, H., & Breuker, C. J. (2011). Development on drought-stressed host plants affects life history, flight morphology and reproductive output relative to landscape structure. Evolutionary Applications, 5(1), 66-75. https://doi.org/10.1111/j.1752-4571.2011.00209.x Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/2de1edee-4871-4cd6-b600-6e610f5a5ece

The dataset describes the effect of soil type, soil sterilisation and drought treatment on survival rate and growth of Howea belmoreana and Howea forsteriana, grown from seed in an experiment on Lord Howe Island for 30 months. The data describe the number of surviving plants per replicate, as well as height and number of leaves of individual plants at two timepoints. The work was carried out by Dr Owen Osborne and Prof. Vincent Savolainen, Imperial College London, and was funded by the NERC grant NE/M015742/1. Full details about this dataset can be found at https://doi.org/10.5285/eb9f4320-3c8e-4bfe-bb58-9a6df63f3f37

This dataset contains locations and species of mosquitoes collected during fieldwork in India in 2022. Mosquito adults and larvae were collected from 4 locations: Bangalore, Udaipur, Delhi and Mumbai. The focus was on collecting Anopheles mosquitoes, but other species were also collected. Anopheles mosquitoes transmit malaria, so changes in their distribution raises concern for the spread of this disease. Full details about this dataset can be found at https://doi.org/10.5285/ac5ecc99-b1b9-443a-b0b1-5059b85bc30f

This dataset comprises phenotypic data of Rhizobium leguminosarum TRX19 clones evolved in the presence or absence of lytic phages. The clones assayed were isolated from populations of R. leguminosarum which had been evolved in lab media for twenty 73hr 'transfers'. Clones were assessed for their resistance to the ancestral phages (reduction in bacterial growth), their ability to form symbioses (plant biomass, nitrogen content and nodule counts) and traits associated with colonisation (biofilm production, swimming and swarming motility and gelatinase activity). This experiment tests the hypothesis that evolution for phage resistance will drive the loss of symbiosis functions in rhizobia due to antagonistic pleiotropy.

Computed tomography (CT) scans of 212 museum specimens, including mostly cartilaginous and bony fishes as well as several reptiles and amphibians, were obtained to quantitatively study vertebral column morphology and regionalisation. The specimens are housed in the University of Cambridge Museum of Zoology or the Natural History Museum in London (specimen identification numbers can be found in the supporting documentation). These data consist of 1) series of tiff images that can be imported into CT segmenting software to reconstruct their shape in three dimensions; 2) STL files of each vertebra for a subset of the specimens scanned; 3) 3D landmark coordinates or measurements for each vertebra for a subset of taxa scanned; 4) tables of results from regionalisation analyses, and 5) photographs of eight fossil fish specimens Supplemental files include details of the data collection procedures, specimen identification numbers and updated taxonomy, and CT scanning parameters for all scans. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/1c76e443-da02-4bc4-a041-0f79adc016be

[This dataset is embargoed until September 30, 2027]. This data comprises key hydraulic and photosynthetic traits, nutrient concentration and plant structure for savanna species (trees, shrubs, grasses and herbaceous) of the Cerrado, collected in the Chapada dos Veadeiros National Park (PNCV; 14°05' S, 47°40' W), located in the central plateau region of Brazil in 2021. These data were collected throughout May-September 2021 on 19 woody species across 11 botanical families, and for 20 monocot species across 6 botanical families, including grasses, herbs and Velloziaceae. 32 plant functional traits were measured on the 19 woody species, and 17 plant functional traits were measured on the 20 monocot species. Trait collections followed standardised published methodologies. The aim of this data was to assess the functional trait space occupied by Cerrado species and whether they differed according to vegetation type, and whether certain species or plants from certain environments were more or less resistant to drought stress. This research was supported by Natural Environment Research Council (Grant: NE/S000011/1). Full details about this dataset can be found at https://doi.org/10.5285/e8cff3f4-60e5-46cf-a4d0-0f7ecf222ae4

CT scans of adult little skates (Leucoraja erinacea). These scans consist of series of tiff images that can be imported into CT segmenting software to reconstruct their shape in three dimensions. Supplemental files include CT scanning parameters, landmark coordinates for each vertebra in each skate, up to vertebra 70, as well as an R script with code for analysing vertebral shape using morphometrics and segmented linear regression tests. Computed tomography scans of three adult little skates were obtained in order to quantitatively study vertebral column morphology and regionalization. The skate fins were removed to facilitate shipping to our scanning facility, and so the scans include only the head, gill basket, and axial column. The specimens are now housed in the University of Cambridge Museum of Zoology (specimen identification numbers 2021.50.1, 20201.50.2, and 2021.50.3). Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/9d7810c7-92af-47b2-81ec-365aafc39691

[This dataset is embargoed until December 31, 2026]. This dataset comprises 25 traits related to plant hydraulic function and wood anatomy for 38 individual trees of five dipterocarp species from a site in Borneo. Traits were measured at multiple positions along each tree: at the bottom and the top of the trunk, then at 3 positions along a lower, a middle, and an upper branch in the crown of the tree - so 12 measurement points per tree for the traits. The trees that were measured ranged in height from 7.7 to 71 m in height. These data were all collected following standardised methodologies for each trait sampled and they were all collected during one very large field campaign which took place during 2022. Following this anatomy samples and data were processed. The aim of this data set was to test whether tree height alters the water transport system of trees to make them more vulnerable to the impacts of drought. Full details about this dataset can be found at https://doi.org/10.5285/6ecfd160-4740-491e-a8b3-8cbb3a4c8701

Data from whole transcriptome sequencing of the four European pine species - Pinus sylvestris (Scots pine), P. mugo (Dwarf mountain pine), P. uliginosa (Mountain pine) and P. uncinata (Peat-bog pine). Those data include 1) transcriptome sequence of a reference Scots pine sample generated using Illumina paired-end sequencing technology and 2) information about single nucleotide polymorphisms (SNPs) in 17 samples collected across the European range, compared to the reference Scots pine sample. These genomic resources were produced to advance the study of the genetic basis of adaptive variation and speciation in pines. Full details about this dataset can be found at https://doi.org/10.5285/b6900166-ded6-4f7a-8734-484b6f77b2f1

This dataset comprises cast reconstructions of brain cavity space in 60 extant avian species, derived from X-ray micro computed-tomography scan image stacks. Each reconstruction was made using Materialise Mimics 14.11 to create volumetric models (brain cavity casts) that were then transformed into the polygon mesh stereolithograph (STL) files archived here. Brain cavity cast models are in most cases accompanied by casts of main vascular features (e.g., carotid arteries) and the olfactory nerves (CN I). A data file (Data_TableComma Separated Values) based on values reported in Table 1 of Walsh et al. (2013: doi:10.1371/journal.pone.0067176) is included that records volume values used in the original analysis, and coding of cerebellar flocculus morphology. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/4e15f483-5b05-409e-acc0-5117fc24e90b